Literature DB >> 26502191

Electrophysiology and Perception of Speech in Noise in Older Listeners: Effects of Hearing Impairment and Age.

Curtis J Billings1, Tina M Penman, Garnett P McMillan, Emily M Ellis.   

Abstract

OBJECTIVES: Speech perception in background noise is difficult for many individuals, and there is considerable performance variability across listeners. The combination of physiological and behavioral measures may help to understand sources of this variability for individuals and groups and prove useful clinically with hard-to-test populations. The purpose of this study was threefold: (1) determine the effect of signal-to-noise ratio (SNR) and signal level on cortical auditory evoked potentials (CAEPs) and sentence-level perception in older normal-hearing (ONH) and older hearing-impaired (OHI) individuals, (2) determine the effects of hearing impairment and age on CAEPs and perception, and (3) explore how well CAEPs correlate with and predict speech perception in noise.
DESIGN: Two groups of older participants (15 ONH and 15 OHI) were tested using speech-in-noise stimuli to measure CAEPs and sentence-level perception of speech. The syllable /ba/, used to evoke CAEPs, and sentences were presented in speech-spectrum background noise at four signal levels (50, 60, 70, and 80 dB SPL) and up to seven SNRs (-10, -5, 0, 5, 15, 25, and 35 dB). These data were compared between groups to reveal the hearing impairment effect and then combined with previously published data for 15 young normal-hearing individuals to determine the aging effect.
RESULTS: Robust effects of SNR were found for perception and CAEPs. Small but significant effects of signal level were found for perception, primarily at poor SNRs and high signal levels, and in some limited instances for CAEPs. Significant effects of age were seen for both CAEPs and perception, while hearing impairment effects were only found with perception measures. CAEPs correlate well with perception and can predict SNR50s to within 2 dB for ONH. However, prediction error is much larger for OHI and varies widely (from 6 to 12 dB) depending on the model that was used for prediction.
CONCLUSIONS: When background noise is present, SNR dominates both perception-in-noise testing and cortical electrophysiological testing, with smaller and sometimes significant contributions from signal level. A mismatch between behavioral and electrophysiological results was found (hearing impairment effects were primarily only seen for behavioral data), illustrating the possible contributions of higher order cognitive processes on behavior. It is interesting that the hearing impairment effect size was more than five times larger than the aging effect size for CAEPs and perception. Sentence-level perception can be predicted well in normal-hearing individuals; however, additional research is needed to explore improved prediction methods for older individuals with hearing impairment.

Entities:  

Mesh:

Year:  2015        PMID: 26502191      PMCID: PMC4621778          DOI: 10.1097/AUD.0000000000000191

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  29 in total

1.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

2.  The effects of stimulus frequency and recording site on the amplitude and latency of multichannel cortical auditory evoked potential (CAEP) component N1.

Authors:  G P Jacobson; D M Lombardi; N D Gibbens; B K Ahmad; C W Newman
Journal:  Ear Hear       Date:  1992-10       Impact factor: 3.570

3.  Data reduction of multichannel fields: global field power and principal component analysis.

Authors:  W Skrandies
Journal:  Brain Topogr       Date:  1989 Fall-Winter       Impact factor: 3.020

4.  The effects of broadband noise masking on cortical event-related potentials to speech sounds /ba/ and /da/.

Authors:  K A Whiting; B A Martin; D R Stapells
Journal:  Ear Hear       Date:  1998-06       Impact factor: 3.570

5.  Activation of duration-sensitive auditory cortical fields in humans.

Authors:  C Alain; D L Woods; D Covarrubias
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1997-11

6.  The effects of decreased audibility produced by high-pass noise masking on cortical event-related potentials to speech sounds/ba/and/da.

Authors:  B A Martin; A Sigal; D Kurtzberg; D R Stapells
Journal:  J Acoust Soc Am       Date:  1997-03       Impact factor: 1.840

7.  Upward spread of masking, hearing loss, and speech recognition in young and elderly listeners.

Authors:  A J Klein; J H Mills; W Y Adkins
Journal:  J Acoust Soc Am       Date:  1990-03       Impact factor: 1.840

8.  Speech recognition in fluctuating and continuous maskers: effects of hearing loss and presentation level.

Authors:  Van Summers; Michelle R Molis
Journal:  J Speech Lang Hear Res       Date:  2004-04       Impact factor: 2.297

9.  P300 from auditory stimuli: intensity and frequency effects.

Authors:  M J Sugg; J Polich
Journal:  Biol Psychol       Date:  1995-11-16       Impact factor: 3.251

10.  Human auditory sustained potentials. II. Stimulus relationships.

Authors:  T W Picton; D L Woods; G B Proulx
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1978-08
View more
  23 in total

1.  Compensatory and Serial Processing Models for Relating Electrophysiology, Speech Understanding, and Cognition.

Authors:  Curtis J Billings; Garnett P McMillan; Marilyn F Dille; Dawn Konrad-Martin
Journal:  Ear Hear       Date:  2019 Jul/Aug       Impact factor: 3.570

2.  Evidence of degraded representation of speech in noise, in the aging midbrain and cortex.

Authors:  Alessandro Presacco; Jonathan Z Simon; Samira Anderson
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

3.  Signal type and signal-to-noise ratio interact to affect cortical auditory evoked potentials.

Authors:  Curtis J Billings; Leslie D Grush
Journal:  J Acoust Soc Am       Date:  2016-08       Impact factor: 1.840

4.  Effect of informational content of noise on speech representation in the aging midbrain and cortex.

Authors:  Alessandro Presacco; Jonathan Z Simon; Samira Anderson
Journal:  J Neurophysiol       Date:  2016-09-07       Impact factor: 2.714

5.  Age-Related Compensation Mechanism Revealed in the Cortical Representation of Degraded Speech.

Authors:  Samira Anderson; Lindsey Roque; Casey R Gaskins; Sandra Gordon-Salant; Matthew J Goupell
Journal:  J Assoc Res Otolaryngol       Date:  2020-07-08

6.  Age Effects on Neural Representation and Perception of Silence Duration Cues in Speech.

Authors:  Lindsey Roque; Casey Gaskins; Sandra Gordon-Salant; Matthew J Goupell; Samira Anderson
Journal:  J Speech Lang Hear Res       Date:  2019-04-26       Impact factor: 2.297

7.  Masking Release for Speech in Modulated Maskers: Electrophysiological and Behavioral Measures.

Authors:  A Michelle Tanner; Emily R Spitzer; J P Hyzy; John H Grose
Journal:  Ear Hear       Date:  2019 Jul/Aug       Impact factor: 3.570

8.  Noise-induced enhancement of envelope following responses in normal-hearing adults.

Authors:  Curtis J Billings; Samuel Y Gordon; Garnett P McMillan; Frederick J Gallun; Michelle R Molis; Dawn Konrad-Martin
Journal:  J Acoust Soc Am       Date:  2020-02       Impact factor: 1.840

9.  Restoration of sensory input may improve cognitive and neural function.

Authors:  Hanin Karawani; Kimberly Jenkins; Samira Anderson
Journal:  Neuropsychologia       Date:  2018-05-02       Impact factor: 3.139

10.  Diabetes-Associated Changes in Cortical Auditory-Evoked Potentials in Relation to Normal Aging.

Authors:  Dawn Konrad-Martin; Curtis J Billings; Garnett P McMillan; Daniel McDermott; Jane Gordon; Donald Austin; Marilyn F Dille
Journal:  Ear Hear       Date:  2016 May-Jun       Impact factor: 3.570

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.